Optimization Techniques for Efficient Ballistic Trajectory Estimation

摘要

This work has dealt with the development of practical advanced multisensor-multitarget tracking algorithms for optimal processing of the information obtained from various remote sensing devices (e.g., radar) for tracking targets. The processing consists of filtering, i.e., state estimation of sensor data, across time, coupled with the fusion, i.e., association of that data, across sensors, wherein the main goals are overcoming the inherent limitations of real-world sensors (accuracy and reliability) due to noise and clutter while not sacrificing computational performance.